Explore selective inference techniques for computational genomics in this 31-minute conference talk from the Computational Genomics Summer Institute (CGSI) 2023. Delve into advanced statistical methods for controlling false discovery rates, handling feedback covariate shift in biomolecular design, and improving detection power in genome-scale multiple testing. Examine innovative approaches such as data splitting, conformal prediction, and hypothesis weighting. Learn about microbiome intervention analysis using transfer functions and mirror statistics, as well as deep learning inference with knockoffs for genomic applications. Gain insights from related research papers to enhance your understanding of cutting-edge computational genomics methodologies.
Selective Inference for Computational Genomics - CGSI 2023
Computational Genomics Summer Institute CGSI via YouTube
Overview
Syllabus
Kris Sankaran | Selective Inference for Computational Genomics | CGSI 2023
Taught by
Computational Genomics Summer Institute CGSI